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Projects

5G Wireless Network Deployment

Role: Associate DevOps Engineer

Technologies Used: AWS, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana, Git

 

Key Accomplishments:

 

  • Streamlined 5G component deployments using Jenkins, reducing deployment time by 30%

  • Provisioned of 100+ 5G components with Terraform, decreasing setup time by 40%

  • Ensured consistent deployments across 80+ nodes using Ansible playbooks

  • Maximized network capacity by 30% with expert Kubernetes resource optimization

  • Enhanced network stability by 25% through proactive troubleshooting and collaboration

  • Implemented monitoring with Prometheus and Grafana, reducing downtime by 20%

  • Developed disaster recovery plans, ensuring high availability and minimizing data loss

E-Commerce Website Development

Role: DevOps Engineer

Technologies Used: AWS, Jenkins, Ansible, Docker, Kubernetes, Helm, Artifactory, Jira, Python

 

Key Accomplishments:

 

  • Reduced release cycles and improved efficiency by 50% with Jenkins and Python-scripted CI/CD pipelines

  • Automated deployment for 50+ instances with Ansible playbooks

  • Improved application scalability by 35% with Docker, Kubernetes, and Helm

  • Maintained 99.5% website availability with Prometheus and Grafana monitoring

  • Reduced customer-impacting incidents by 30% with Jira issue tracking and task management

  • Improved build consistency and traceability with Artifactory management.

AI-Enhanced Predictive Healthcare

Role: DevOps Engineer

Technologies Used: AWS, Linux, Ansible, Docker, Kubernetes, Jenkins, Prometheus, Python, Git, Maven, Jira, Helm, SonarQube, Nagios

 

Key Accomplishments:

 

  • Developed CI/CD pipelines with Jenkins, Terraform, and AWS, accelerating deployment by 40% and supporting 500+ builds/month

  • Automated infrastructure provisioning for 200+ nodes, reducing setup time by 50% with Terraform and AWS

  • Orchestrated deployment consistency across 200+ nodes with Ansible, Puppet, and Chef, reducing errors by 20%

  • Optimized system performance by 30% with Docker, Kubernetes, and Helm, handling 10,000+ daily API requests

  • Implemented advanced monitoring with Prometheus, Grafana, and Nagios, reducing downtime by 20% and improving MTTR by 25%

  • Analyzed 5 TB of real-time patient data and integrated AI models with Python and Bash scripts

  • Facilitated collaboration with Jira, completing 90% of tasks on time

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